The Scatter Plot Widget allows two variables such as molecular weight and logP to be plotted against each other. This can be useful for showing trends or correlations. The values in the current selection are distinguished using a different colour allowing their distribution to be seen. The data point which the mouse cursor is currently hovered over is also highlighted. Also, the 'Background' visual layer can also optionally be set to the 'All data' data layer so that the distribution for the current result set can be seen within the overall context. The Scatter plot chart:
Switch to design mode of your form and add a visualisation widget using the visualisation widget icon . In the first step of the wizard choose Scatter Plot as the widget type. In the second step of the wizard you need to choose the fields that are to be displayed. One will form the X-axis and the other the Y-axis. Other settings are optional, and all settings can be adjusted later.
To edit the settings in Design mode double click on the Widget and the settings editor will open. In either mode select the widget by single clicking on it and then click on the Widget Settings icon ( ) in the Form toolbar. Or alternatively right click on the widget and select Customize Widget Settings item.
X Field, Y Field
X-axis, Y-axis settings
Size by field
You can choose to annotate your scatter plot content with a colour based on a key which is the values found in the assigned category field. Each category will be displayed in a different colour. Colours are automatically assigned. It is wise to use a field which is low cardinality (few distinct values) in order to help show trends & groupings of data. In the example in the screen shot below, we can see Molecular weight vs Atoms and a ring count has been applied as the category field. This allows us to view the distribution of ring counts over the specified scatter plot.
Gradient by field
You can chose colouring by the numeric value of a field. Gradient is set automatically within the range of all values between two customisable colours. The colours can be change by clicking on them. When the range is explicitly specified, all values falling out of the range will be treat as having a boundary value. Gradient among colours can have logarithmic scale. How does it look can be seen in Feature Parade for Instant JChem 5.6.0 .
Plotting the scatter plot requires accessing the entire set of results, and can be slow if there are a large number of data points or the connection to the database is slow. This means that this widget may not always be suitable for use, or that you might want to consider an appropriate setting for the 'Rows limit' property.
Scatter plot be zoomed by using mouse wheel. Other possibility is to choose the area to zoom in with mouse and keyboard modifier(hold Control and drag mouse). Control of this zooming area is more sophisticated as dragging must start in the upper left corner of a zooming selection and proceed to bottom-right edge. Opposite directions reset to the implicit range.
Summary of controls
Dragging == mouse-dragging with left button pressed.
Click == left mouse click.
Ctrl + dragging from upper-left to bottom-right performs zooms in
ctrl + dragging from bottom-right to upper-left resets zoom
Scrolling mouse wheel zooms in/out
Click create new selection
Shift + click adds/removes to/from selection
Dragging create new selection with entities in the selected rectangle
Shift + dragging adds to selection entities in the selected rectangle
Alt + dragging
Middle-button + dragging (no keyboard needed)